Improved Characterization of Low-Frequency Fluctuations in Resting-State fMRI using GLM Correction of Baseline and Physiological Noise
Olivia Viessmann1, Peter Jezzard1, and Harald Moeller2
1Nuffield Department of Clinical Neuroscience, University of Oxford, FMRIB Centre, Oxford, United Kingdom, 2Max-Planck Institut fuer Kognitions-und Neurowissenschaften, Leipzig, Germany
We present a method to correct mutiband rs-fmri frequency spectra for baseline and physiological noise components using a GLM in the frequency domain. We acquired short-TR (328ms) rs-fmri whole-brain data in a group of younger and older subjects to compare the fractional amplitude of low frequency fluctuations (fALFF) between 0.01 and 0.1Hz that is thought to decline with age. We tested the ability of the GLM approach to minimise baseline and physiological noise contributions to the fALFF. GLM post-processing increased the statistical significance of the group fALFF difference.
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